Allegro: analyzing expression and sequence in concert to discover regulatory programs.

Abstract:

:A major goal of system biology is the characterization of transcription factors and microRNAs (miRNAs) and the transcriptional programs they regulate. We present Allegro, a method for de-novo discovery of cis-regulatory transcriptional programs through joint analysis of genome-wide expression data and promoter or 3' UTR sequences. The algorithm uses a novel log-likelihood-based, non-parametric model to describe the expression pattern shared by a group of co-regulated genes. We show that Allegro is more accurate and sensitive than existing techniques, and can simultaneously analyze multiple expression datasets with more than 100 conditions. We apply Allegro on datasets from several species and report on the transcriptional modules it uncovers. Our analysis reveals a novel motif over-represented in the promoters of genes highly expressed in murine oocytes, and several new motifs related to fly development. Finally, using stem-cell expression profiles, we identify three miRNA families with pivotal roles in human embryogenesis.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Halperin Y,Linhart C,Ulitsky I,Shamir R

doi

10.1093/nar/gkn1064

subject

Has Abstract

pub_date

2009-04-01 00:00:00

pages

1566-79

issue

5

eissn

0305-1048

issn

1362-4962

pii

gkn1064

journal_volume

37

pub_type

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